Terraform / GCP / SQL + Any programming Language (Preferably C#, but could be Java, Python, etc. that has experience in development, not only scripting) GCP: CloudRun, BigQuery, Pub/Sub

Site Reliability Engineer Cloud and Infrastructure

7596 - Site Reliability Engineer Cloud and Infrastructure

**Senior React Engineer**
**Requirements:**
- 5 or more years of professional experience specializing in front-end development with large companies.
- Full-Stack experience (Ruby or similar languages).
- Extensive experience with React, JavaScript, CSS, Styled Components, and TypeScript.
- Experience with React Testing Library.
- Experience with Storybook or similar reusable JavaScript UI component integration
- Experience working with highly collaborative teams and familiar with pair programming, design sessions, grooming meetings, etc.
- Experience with page speed and front-end performance optimization
- Experience with Git workflows and GitHub
- Strong communication skills, both verbal and written, with the ability to articulate effectively across technical and non-technical partners.
- Self-starters with the ability to make informed choices when faced with ambiguity

**Nice to haves:**
- Experience with NextJS
- Experience working with feature flags or gated features
- Experience with accessibility testing
- Experience with Percy and browser testing with CI tooling
- Experience with GraphQL, Apollo, and API data integration
- Familiar with microservices and microfrontends architectures.
- Experience migrating React apps to newer versions.
- Experience working on agile teams.

React JavaScript

7592 - React JavaScript

AI/ML Engineer (Python)

Requirements:
- 8+ years of professional software engineering experience.
- Strong track record of independently designing and delivering complex backend systems.
- Deep expertise in Python, particularly for backend API services and AI/ML integration.
- Hands-on experience with FastAPI (or comparable modern Python web frameworks).
- Experience integrating AI/ML models into production systems (LLMs, transformers, fine-tuning, etc.).
- Strong system design, data modeling, and architectural thinking.
- Familiarity with scalable ingestion pipelines, asynchronous processing, and event-driven architectures.
- Experience with cloud infrastructure (e.g., AWS), CI/CD pipelines, monitoring, and observability.

Nice to Have:
- Experience with knowledge graphs or graph databases (e.g., Neo4j).
- MLOps experience (model deployment, pipelines, monitoring, retraining workflows).
- Prior collaboration with ML research teams.

Python Python

7589 - Python Python

JR3022
---
**About This Job**
We are seeking a highly motivated and experienced Application Security Engineer with a strong background in red team operations. The ideal candidate will have a deep understanding of application security, penetration testing, and red team methodologies. This role involves simulating real-world attack scenarios to assess the security posture of our applications, identifying vulnerabilities, and working with development teams to mitigate risks.
- •    Engage in red team operations to simulate real-world attack scenarios on applications.
•    Conduct comprehensive security assessments, including penetration testing, vulnerability assessments, and code reviews.
•    Develop and utilize custom tools, scripts, and exploits to identify security weaknesses.
•    Collaborate with development and operations teams to remediate identified vulnerabilities.
•    Provide detailed reports on findings and recommend corrective actions to improve security posture.
•    Stay up to date with the latest security trends, vulnerabilities, and attack techniques.
•    Contribute to the development and implementation of security policies, standards, and procedures.
•    Participate in incident response activities and assist in the investigation of security breaches.

7586 - Site Reliability Engineer Cloud and Infrastructure

**Summary**
We’re looking for a Data Engineer to help build and evolve a robust data backbone handling both real-time and batch workloads. You’ll architect and maintain Airflow pipelines, integrate partner and regulatory datasets, support AWS analytics and ML workflows, and lay the groundwork for a future streaming platform.
### What You’ll Do
- **Design & Build Pipelines:**
Create and manage Airflow DAGs for ETL/ELT across internal and external data sources
Convert existing batch jobs into micro-batch workflows and event-driven processes
- **Implement Real-Time Architecture:**
Develop a lightweight event listener to ingest Kafka messages and trigger downstream processing
- **Shape Data Architecture:**
Apply lambda and evolutionary architecture principles to ensure scalability and flexibility
Advise on a phased migration to Spark, balancing short-term needs with long-term vision
Possibly collaborate on a GDPR-compliant central data store
- **Automate & Orchestrate:**
Write reusable Python modules, AWS Lambda functions, and Glue jobs for data ingestion, transformation, and quality checks
Establish monitoring and alerting for pipeline health and data integrity
- **Enable ML & Analytics:**
Create and manage SageMaker labeling jobs and pipelines to support data science initiatives
Build QuickSight dashboards to surface key operational and business metrics

### Required Skills
- **Airflow & Python:** 5+ years at scale, including DAG development and custom operators
- **Event Streaming:** Hands-on experience with Kafka (or MSK/Kinesis) and micro-batch processing
- **Data Architecture:** Proven track record designing lambda/evolutionary architectures; familiarity with Spark
- **AWS Proficiency:** Lambda, Glue, S3, MSK/Kinesis, SageMaker, IAM best practices
- **Regulatory Awareness:** Practical understanding of GDPR requirements and secure data handling
- **Collaboration:** Strong communication skills; ability to partner with data scientists, architects, and business stakeholders

### Preferred Skills
- Workflow tools such as Nextflow or AWS Step Functions
- Real-time ingestion frameworks (e.g., Flink, Kafka Streams)
- BI tools beyond QuickSight (Tableau, Looker) and dashboard best practices
- Experience with centralized data platforms and data lake architectures
- Familiarity with feature stores or other ML data pipeline technologies
- Hands-on with containerization (Docker, Kubernetes) for data workloads

Data Engineer Data

7579 - Data Engineer Data

Internal Xamarin position created for CPO's addition of external candidate/contractor for short term effort.

Xamarin 

7570 - Xamarin 

The Enterprise Analytics team’s mission is to bring confidence to decisions made across the company, at every level, using data and analytics. We support business decision-making, opportunity sizing, marketing spend & risk management We play an integral part providing performance data for the company.
As a business intelligence analyst, you will partner closely with engineering, product, finance, and marketing stakeholders to deliver data products that drive operational efficiency and product improvement. You will define and monitor the metrics that best measure the business impact of our customer experience. You’ll enable partners to get informed by building reporting & supporting data pulls and will empower partners to keep informed by enabling self-service of this information.
This role is on a high-visibility Data + Analytics team and will be involved in impactful projects on day 1. This role reports to the Sr Manager of Enterprise Analytics.

**You’re excited about this opportunity because you will…**
- Full-stack data modeling - you’ll use spark, Python, and SQL to transform  data from our databases into actionable datasets for cross-functional teams
- Maintain data governance and quality standards through testing and documentation that non-technical stakeholders can understand
- Utilize Looker and LookML to create well-documented explores that can be self-serviced by users across the company
- Be part of a collaborative team which has high visibility across the organization

**We’re excited about you because…**
- 3-5+ years in analytics role
- Exceptional Analytics skills in SQL and Python
- 2+ years of experience with data visualization tools (e.g. Looker, Tableau, PowerBI) and associated dashboard and visualization best practices
- Able to build, maintain and optimize data pipelines using best practices.
- Strong communication skills
- Prioritization skills with business impact in mind and ability to be pragmatic where appropriate
- Have intellectual curiosity and are an experienced learner and are skilled in asking questions; previous domain expertise is not expected but building an expertise will be required
- Experience in working autonomously and taking ownership of projects.

**Preferred qualifications**
- Degree in a business or quantitative field (e.g., business, economics, mathematics, statistics, computer science)
- Experience working with GitHub for version control, collaboration, and tracking code changes effectively.

**Special Certifications/Skills:**
- Data modeling - SQL, python, dbt, dimensional modeling
- Data visualization skills - Looker, Tableau, PowerBI, etc
- Communication skills - Work with the business to understand and make impact
- Prioritization skills

BI Data

7562 - BI Data

Data Scientist AI

7559 - Data Scientist AI

**Job Summary:** We are seeking a detail-oriented and analytical **Healthcare Data Analyst** to join our team. In this role, you will be responsible for collecting, analyzing, and interpreting healthcare data to support decision-making, ensure data quality, improve patient outcomes, operational efficiency, and regulatory compliance.

**Key Responsibilities _:_**
• Extract, clean, and manipulate healthcare data from various sources (EHR/EMR, claims, patient registries, etc.)
• Analyze data trends and generate actionable insights to support clinical, financial, and operational goals
• Develop and maintain SQL scripts, stored procedures, and views for data processing and reporting
• Ensure data accuracy and reliability through rigorous **quality assurance checks** on **Snowflake-based data pipelines**
• Perform **validation between the data warehouse and source systems (e.g., EMR data)** to ensure alignment of patient records, clinical metrics, and encounter information
• Compare statistical outputs (e.g., patient counts, quality metrics, diagnosis prevalence) from the data warehouse against EMR reports to **identify and resolve discrepancies**• Collaborate with clinical and IT teams to reconcile data mismatches and ensure trusted reporting
• Monitor and troubleshoot ETL processes and Snowflake workloads to maintain data integrity and performance
• Create reports, dashboards, and visualizations using tools like SQL, Excel, Tableau, or Power BI • Support compliance and reporting requirements including CMS, HIPAA, and other healthcare regulations

**Qualifications:**
**Required:**
• 3+ years of experience in a data analyst or healthcare analyst role
• Strong **SQL development skills** including complex joins, subqueries, CTEs, and window functions
• Experience with **Snowflake** or other cloud-based data warehouses (e.g., Redshift, BigQuery)

**Preferred:**
• Familiarity with electronic health record (EHR) systems (e.g., Epic, Cerner) 
• Experience with statistical analysis software 
• Experience with risk adjustment models, quality metrics (e.g., HEDIS, STAR ratings), or value-based care
• Pacific Time Zone

**Skills:**
• Analytical thinking and problem-solving
• Excellent communication and presentation skills
• Attention to detail and a high level of accuracy
• Ability to work independently and collaboratively in a team environment

Business Analyst Product Administration

7557 - Business Analyst Product Administration

## Data Engineer – Automation & Workflow Specialist
### Summary
We’re seeking a Data Engineer to join our agile team and drive automation of our dataset build processes. You’ll own the enhancement and streamlining of our Python scripts and Airflow DAGs, optimizing developer operations, reducing manual steps, and improving quality and reliability.
### What You’ll Do
- Update and expand existing Airflow DAGs to automate dataset workflows (e.g., CGB) and eliminate manual hand-offs
- Refactor and enhance Python scripts, often running inside Docker containers, to enable push-button operations
- Integrate AWS/Azure Blob Storage CLI and IAM role-assumption for secure, long-running processes including token refresh
- Collaborate with product owners to merge DAGs, generate error reports, and fill gaps in existing Word-doc designs
- Validate and vet code; document findings and propose improvements
- Implement a QC framework: translate design specs into automated checks and reporting
- Write clear, concise technical documentation and runbooks for operator-centric usability

### Required Skills
- 3+ years of hands-on Python development, including virtualenv or similar environments
- Solid experience building and maintaining Apache Airflow DAGs
- Familiarity with Docker: working with containerized Python scripts
- Experience with cloud-storage CLIs (AWS S3 or Azure Blob Storage) and IAM role management
- Comfortable reading and improving existing codebases; strong debugging and refactoring skills
- Good technical writing ability, can turn technical designs into user-friendly docs

### Preferred Skills
- Prior exposure to designing QC or data-validation frameworks
- Sense for developer-experience optimizations: intuitive naming, sensible defaults, and clear error handling
- Experience with ABS CLI automation and long-running job orchestration
- Any background building clinical or financial datasets
- Familiarity with Databricks or similar compute-as-a-service platforms

7554 - Data Engineer Data

JR 2939
---
**What We’re Looking For**

We are seeking a Quality Engineer with a strong background in testing web and mobile applications, particularly in the online banking domain. The ideal candidate will have:

Hands-on experience with automation frameworks—either UI or API—and a passion for delivering high-quality, secure, and user-friendly digital banking experiences. Experience with low-code/no-code automation platforms like Testim is a plus. You’ll be joining a fast-paced quality engineering team that values precision, collaboration, and continuous improvement.

**Responsibilities**
• Design, develop, and maintain automated test scripts for web and mobile applications.
• Collaborate with developers, product managers, and other quality engineers to understand requirements and define test strategies.
• Execute manual and automated test cases, report bugs, and verify fixes.
• Participate in sprint planning, daily stand-ups, and retrospectives as part of an Agile team.
• Monitor application performance and reliability across platforms.
• Contribute to continuous integration and continuous deployment (CI/CD) pipelines.
• Ensure compliance with security and regulatory standards in all testing activities.

**Qualifications**
• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in software quality assurance, with a focus on automation.
• Proficiency in at least one area of automation: UI automation using frameworks like Selenium or Cypress, mobile automation using Appium, or API automation using tools such as Postman or RestAssured.
• Experience testing both web UI and mobile applications (iOS and Android).
• Experience working with SQL databases for test data validation and backend verification.
• Exposure to low-code/no-code automation platforms such as Testim is a plus.
• Familiarity with AI fundamentals and AI usage in software testing
• Strong understanding of QA methodologies, tools, and processes.
• Familiarity with Agile/Scrum development practices.
• Excellent communication skills, with the ability to clearly articulate issues and collaborate across teams.
• Excellent problem-solving skills and attention to detail.
• Experience in the banking or fintech industry is a plus.

**Our Company Culture**
We operate as a meritocracy— success is earned, not given. We reward individuals based on achievement and encourage self-governance, where authority is aligned with values and initiative. Our team members are expected to act with independence and personal accountability contributing to shared success through collaboration and integrity. In our quality engineering organization, we are on a journey from traditional QA to modern QE. This transformation emphasizes test automation, AI-driven test case generation, and robust test data management. We proactively tackle challenges like stabilizing test environments and scaling automation using tools such as Testim and Postman. Our engineers are empowered to take ownership, innovate with purpose, and continuously raise the bar for quality.

7548 - QA

JR 2944
---
**What We’re Looking For**

We are seeking a Quality Engineer with a strong background in testing web and mobile applications, particularly in the online banking domain. The ideal candidate will have:

Hands-on experience with automation frameworks—either UI or API—and a passion for delivering high-quality, secure, and user-friendly digital banking experiences. Experience with low-code/no-code automation platforms like Testim is a plus. You’ll be joining a fast-paced quality engineering team that values precision, collaboration, and continuous improvement.

**Responsibilities**
• Design, develop, and maintain automated test scripts for web and mobile applications. 
• Collaborate with developers, product managers, and other quality engineers to understand requirements and define test strategies. 
• Execute manual and automated test cases, report bugs, and verify fixes. 
• Participate in sprint planning, daily stand-ups, and retrospectives as part of an Agile team. 
• Monitor application performance and reliability across platforms. 
• Contribute to continuous integration and continuous deployment (CI/CD) pipelines. 
• Ensure compliance with security and regulatory standards in all testing activities.

**Qualifications**
• Bachelor’s degree in Computer Science, Engineering, or a related field. 
• 3+ years of experience in software quality assurance, with a focus on automation. 
• Proficiency in at least one area of automation: UI automation using frameworks like Selenium or Cypress, mobile automation using Appium, or API automation using tools such as Postman or RestAssured. 
• Experience testing both web UI and mobile applications (iOS and Android). 
• Experience working with SQL databases for test data validation and backend verification. 
• Exposure to low-code/no-code automation platforms such as Testim is a plus. 
• Familiarity with AI fundamentals and AI usage in software testing 
• Strong understanding of QA methodologies, tools, and processes. 
• Familiarity with Agile/Scrum development practices. 
• Excellent communication skills, with the ability to clearly articulate issues and collaborate across teams. 
• Excellent problem-solving skills and attention to detail. 
• Experience in the banking or fintech industry is a plus.

**Our Company Culture**
We operate as a meritocracy— success is earned, not given. We reward individuals based on achievement and encourage self-governance, where authority is aligned with values and initiative. Our team members are expected to act with independence and personal accountability contributing to shared success through collaboration and integrity. In our quality engineering organization, we are on a journey from traditional QA to modern QE. This transformation emphasizes test automation, AI-driven test case generation, and robust test data management. We proactively tackle challenges like stabilizing test environments and scaling automation using tools such as Testim and Postman. Our engineers are empowered to take ownership, innovate with purpose, and continuously raise the bar for quality.

7546 - QA

JRR2943
---

**What We’re Looking For**

We are seeking a Quality Engineer with a strong background in testing web and mobile applications, particularly in the online banking domain. The ideal candidate will have:
- Hands-on experience with automation frameworks—either UI or API—and a passion for delivering high-quality, secure, and user-friendly digital banking experiences. Experience with low-code/no-code automation platforms like Testim is a plus. You’ll be joining a fast-paced quality engineering team that values precision, collaboration, and continuous improvement.

**Responsibilities**

• Design, develop, and maintain automated test scripts for web and mobile applications. 
• Collaborate with developers, product managers, and other quality engineers to understand requirements and define test strategies. 
• Execute manual and automated test cases, report bugs, and verify fixes. 
• Participate in sprint planning, daily stand-ups, and retrospectives as part of an Agile team. 
• Monitor application performance and reliability across platforms. 
• Contribute to continuous integration and continuous deployment (CI/CD) pipelines. 
• Ensure compliance with security and regulatory standards in all testing activities.

**Qualifications**

• Bachelor’s degree in Computer Science, Engineering, or a related field. 
• 3+ years of experience in software quality assurance, with a focus on automation. 
• Proficiency in at least one area of automation: UI automation using frameworks like Selenium or Cypress, mobile automation using Appium, or API automation using tools such as Postman or RestAssured. 
• Experience testing both web UI and mobile applications (iOS and Android). 
• Experience working with SQL databases for test data validation and backend verification. 
• Exposure to low-code/no-code automation platforms such as Testim is a plus. 
• Familiarity with AI fundamentals and AI usage in software testing 
• Strong understanding of QA methodologies, tools, and processes. 
• Familiarity with Agile/Scrum development practices. 
• Excellent communication skills, with the ability to clearly articulate issues and collaborate across teams. 
• Excellent problem-solving skills and attention to detail. 
• Experience in the banking or fintech industry is a plus.

**Our Company Culture**

We operate as a meritocracy— success is earned, not given. We reward individuals based on achievement and encourage self-governance, where authority is aligned with values and initiative. Our team members are expected to act with independence and personal accountability contributing to shared success through collaboration and integrity. In our quality engineering organization, we are on a journey from traditional QA to modern QE. This transformation emphasizes test automation, AI-driven test case generation, and robust test data management. We proactively tackle challenges like stabilizing test environments and scaling automation using tools such as Testim and Postman. Our engineers are empowered to take ownership, innovate with purpose, and continuously raise the bar for quality.

7542 - QA

JR 2947
---
**What We’re Looking For**
We are seeking a Quality Engineer with a strong background in testing web and mobile applications, particularly in the online banking domain. The ideal candidate will have:

Hands-on experience with automation frameworks—either UI or API—and a passion for delivering high-quality, secure, and user-friendly digital banking experiences. Experience with low-code/no-code automation platforms like Testim is a plus. You’ll be joining a fast-paced quality engineering team that values precision, collaboration, and continuous improvement.

**Responsibilities**
• Design, develop, and maintain automated test scripts for web and mobile applications. 
• Collaborate with developers, product managers, and other quality engineers to understand requirements and define test strategies. 
• Execute manual and automated test cases, report bugs, and verify fixes. 
• Participate in sprint planning, daily stand-ups, and retrospectives as part of an Agile team. 
• Monitor application performance and reliability across platforms. 
• Contribute to continuous integration and continuous deployment (CI/CD) pipelines. 
• Ensure compliance with security and regulatory standards in all testing activities.

**Qualifications**
• Bachelor’s degree in Computer Science, Engineering, or a related field. 
• 3+ years of experience in software quality assurance, with a focus on automation. 
• Proficiency in at least one area of automation: UI automation using frameworks like Selenium or Cypress, mobile automation using Appium, or API automation using tools such as Postman or RestAssured. 
• Experience testing both web UI and mobile applications (iOS and Android). 
• Experience working with SQL databases for test data validation and backend verification. 
• Exposure to low-code/no-code automation platforms such as Testim is a plus. 
• Familiarity with AI fundamentals and AI usage in software testing 
• Strong understanding of QA methodologies, tools, and processes. 
• Familiarity with Agile/Scrum development practices. 
• Excellent communication skills, with the ability to clearly articulate issues and collaborate across teams. 
• Excellent problem-solving skills and attention to detail. 
• Experience in the banking or fintech industry is a plus.

**Our Company Culture**
We operate as a meritocracy— success is earned, not given. We reward individuals based on achievement and encourage self-governance, where authority is aligned with values and initiative. Our team members are expected to act with independence and personal accountability contributing to shared success through collaboration and integrity. In our quality engineering organization, we are on a journey from traditional QA to modern QE. This transformation emphasizes test automation, AI-driven test case generation, and robust test data management. We proactively tackle challenges like stabilizing test environments and scaling automation using tools such as Testim and Postman. Our engineers are empowered to take ownership, innovate with purpose, and continuously raise the bar for quality.

7541 - QA

JR 2941
---
**What We’re Looking For**
We are seeking a Quality Engineer with a strong background in testing web and mobile applications, particularly in the online banking domain. The ideal candidate will have:

Hands-on experience with automation frameworks—either UI or API—and a passion for delivering high-quality, secure, and user-friendly digital banking experiences. Experience with low-code/no-code automation platforms like Testim is a plus. You’ll be joining a fast-paced quality engineering team that values precision, collaboration, and continuous improvement.

**Responsibilities**
• Design, develop, and maintain automated test scripts for web and mobile
applications.
• Collaborate with developers, product managers, and other quality engineers to
understand requirements and define test strategies.
• Execute manual and automated test cases, report bugs, and verify fixes.
• Participate in sprint planning, daily stand-ups, and retrospectives as part of an
Agile team.
• Monitor application performance and reliability across platforms.
• Contribute to continuous integration and continuous deployment (CI/CD)
pipelines.
• Ensure compliance with security and regulatory standards in all testing activities.

**Qualifications**
• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in software quality assurance, with a focus on automation.
• Proficiency in at least one area of automation: UI automation using frameworks like Selenium or Cypress, mobile automation using Appium, or API automation using tools such as Postman or RestAssured.
• Experience testing both web UI and mobile applications (iOS and Android).
• Experience working with SQL databases for test data validation and backend verification.
• Exposure to low-code/no-code automation platforms such as Testim is a plus.
• Familiarity with AI fundamentals and AI usage in software testing
• Strong understanding of QA methodologies, tools, and processes.
• Familiarity with Agile/Scrum development practices.
• Excellent communication skills, with the ability to clearly articulate issues and
collaborate across teams.
• Excellent problem-solving skills and attention to detail.
• Experience in the banking or fintech industry is a plus.

**Our Company Culture**
We operate as a meritocracy— success is earned, not given. We reward individuals based on achievement and encourage self-governance, where authority is aligned with values and initiative. Our team members are expected to act with independence and personal accountability contributing to shared success through collaboration and integrity. In our quality engineering organization, we are on a journey from traditional QA to modern QE. This transformation emphasizes test automation, AI-driven test case generation, and robust test data management. We proactively tackle challenges like stabilizing test environments and scaling automation using tools such as Testim and Postman. Our engineers are empowered to take ownership, innovate with purpose, and continuously raise the bar for quality.

7540 - QA

**Lead AI Engineer** **Role Overview:** 
We’re seeking a Lead AI Engineer to spearhead the design and implementation of intelligent agents on Azure’s AI Foundry platform. You will build, deploy, and maintain custom LLM-driven agents (using Semantic Kernel or similar SDKs) that orchestrate multi-step workflows. Your work will be central to delivering a production-grade, high-throughput AI system that integrates Azure Cognitive Services, Azure ML, and Foundry Agent Service.

**Key Responsibilities:**
- Develop and maintain AI agents using Semantic Kernel (or equivalent) to define “skills” and prompt workflows.
- Integrate LLMs (Azure OpenAI or equivalent) with Azure AI Foundry Agent Service to create, version, and monitor multi-agent workflows.
- Build and deploy custom ML models (e.g., Computer Vision classifier) on Azure Machine Learning, ensuring scalable, low-latency inference.
- Implement agent “tool” functions that call Azure services (Cognitive Services OCR, Azure Functions, Cosmos DB, Service Bus) via secure, managed identities.
- Collaborate with Data Engineers and Backend Engineers to ensure smooth data flow (e.g., ingesting part specs, storing results, orchestrating events).
- Implement automated logging, tracing, and performance monitoring for agent execution (leveraging Foundry’s AgentOps features and Application      Insights).
- Iterate quickly: prototype new model architectures or prompt designs, validate with sample data, and roll out improvements in CI/CD pipelines.
- Partner with Domain Engineers to translate manufacturability rules into agent logic and help refine model training data.

**Required Skills & Qualifications:**
- Bachelor’s or Master’s in Computer Science, AI/ML, or related field; 5+ years of hands-on ML/AI engineering experience.
- Deep experience with Azure ML (model training, endpoint deployment, and model management).
- Proficiency in Semantic Kernel or similar LLM-agent SDK/platform (LangChain, AutoGen, CrewAI), with a strong grasp of prompt engineering, function-calling patterns, and multi-agent orchestration.
- Familiarity with Azure AI Foundry Agent Service (demonstrated ability to build and deploy agents as microservices).
- Knowledge of MCP
- Strong Python skills and experience building production-grade ML pipelines (data preprocessing, model training, inference code).
- Experience integrating Computer Vision models (TensorFlow, PyTorch) with Azure Cognitive Services OCR or custom CV pipelines.
- Proficient with Azure Cognitive Services, especially OCR/Document Intelligence APIs.
- Solid understanding of cloud-native security (Managed Identities, Key Vault) and best practices for secure model serving.
- Experience with observability tools (Application Insights, Foundry AgentOps) to monitor agent performance and debug end-to-end flows.
- Excellent problem-solving, communication, and collaboration skills—able to work cross-functionally in a fast-paced startup environment.

AI AI

7537 - AI AI

TOP REQUIREMENTS:
- Kubernetes (EKS)
- Terraform
- Intermediate to Advanced AWS
- Github Actions
- NewRelic/Datadog
- Containers (docker)
- Ideally some form of developer background - with an eye for automating recurring tasks
- excellent communicator
- Above all else, someone who takes ownership, is a self-starter, and is someone that loves learning new skills and has a growth mindset.


**What can you expect from this position?**
- Participate in initiatives involving system design and provisioning, reliability, observability and monitoring, self-service tool development, cost optimization, incident response, chaos engineering and build and release
- Hands-on design, analysis, development and troubleshooting of large-scale distributed systems
- Build tools and automation to eliminate repetitive tasks, minimize downtime, achieve human free operations, and provide self-service solutions to product development teams
- Work to improve the observability and monitoring of our systems. Proactively monitor capacity, performance, and cost metrics to ensure quality and identify opportunities for improvement
- Share an on-call rotation with your team where you will respond to incidents, lead triage efforts, and conduct blameless postmortems
- Partner with engineering, security, and product teams to keep our services reliable, available, fast, and cost efficient
- Be a champion of the customer’s voice and ensure our solutions are built with customer empathy at the forefront
- Promote SRE best practices within your team to ensure quality, stability, performance, resiliency, and maintainability of your solutions
- Explore new technologies and solutions to push our capabilities forward

**What can you bring to the role?**
- 4+ years combined experience as a Software Engineer, Site Reliability Engineer or DevOps Engineer
- Proven technical abilities in the areas of reliability, monitoring, self-service tool development, incident response, and build and release
- Experience in one of these languages: Python, Go or Java. Prior software development experience preferred
- Strong experience with Linux environments
- Demonstrated expertise designing, building, and triaging highly scaled production infrastructure in AWS
- Experience with infrastructure automation technologies like Terraform
- Experience in container/container-fleet-orchestration technologies like AWS ECS or EKS
- Approach your job with an automation and software engineering mindset
- Passion for uptime, observability, and full stack monitoring
- Experience participating in a team’s 24x7 incident response efforts
- Experience building ci/cd pipelines that are fast, informative, drive quality and achieve zero downtime releases
- Ability to work across functional and domain boundaries to improve system reliability and deliver solutions on time and with quality

**++Common Technologies In Our Ecosystem Include++**
- Java, Go, Node, PHP
- DataBricks experience would be ideal
- Linux-based, some Windows
- Apache Web, Nginx, IIS, Apache Tomcat, Jetty
- Docker, AWS ECS, AWS EKS, and home-grown Kubernetes
- ELB, CloudFront, S3, EC2s, RDS, IAM, SQS, SES, SNS, Lambda, API Gateway, Kinesis, Lambda, ElasticCache, ElasticSearch, SSM, Control Tower, and much more
- MySQL, Oracle, PostgreSQL, SQL Server
- Artifactory, GitHub Enterprise, CircleCI, Jenkins, GitHub Actions, SonarQube, Jfrog X-Ray, Control Tower
- Terraform (preferred), CloudFormation
- Packer, Puppet, Ansible
- New Relic, CloudWatch, PagerDuty

As an education innovation company, we're proud to play our part by inspiring learners around the world. If you bring your curiosity, we'll help you grow in a collaborative environment where everyone shares a passion for success.

7535 - Site Reliability Engineer Cloud and Infrastructure

7534 - Site Reliability Engineer Cloud and Infrastructure


A SecOps Engineer is being sought to strengthen cloud security across AWS infrastructure supporting product development and data science. Role-based access control (RBAC) and IAM policies will be designed and maintained using AWS Organizations, SCPs, and permission boundaries, ensuring appropriate and auditable access across environments.

Security responsibilities will include the ongoing management of security groups and network boundaries across ECS, VPC, EC2, RDS, and other managed databases, ensuring proper isolation and minimizing exposure risks.

AWS-native tools such as KMS, Secrets Manager, GuardDuty, and S3 bucket policies will be leveraged to enforce security controls. Alerts from tools like Orca Security will be addressed, with remediation efforts led across the organization.

Security will be integrated through policy-as-code, IaC scanning, and automated enforcement, enabling secure workflows without hindering agility. Strong experience with AWS security tooling and multi-team infrastructure support will be expected.

Security Analyst IT Operations

7533 - Security Analyst IT Operations

Software Engineer in Test (SET)

What You’ll Do
● Lead test initiatives for large projects (including regulatory) by defi ning plans and working with cross-functional teams through the software development lifecycle
● Work with software engineers and product managers on HC Engineering teams to plan and execute test strategies that prioritize automation
● Guide engineering teams on best practices by utilizing tools and techniques to build-in quality in their code
● Serve as subject matter expert in team’s domain and provide insights to other teams
● Plan and communicate project status to stakeholders
● Report clear, detailed application defects and assist in troubleshooting and identifying root cause of client reported bugs
● Create and document test plans and scenarios to test all aspects of our products
● Serve as a subject matter expert on OncoEMR and its capabilities

Who You Are
● 4+ years of functional testing experience working on complex systems
● Have in-depth knowledge of SDLC, and eff ectively collaborate with stakeholders across multiple projects
● Able to multi-task and have fl exibility to accommodate changing priorities while maintaining strong attention to detail
● Able to coordinate cross-functional eff ort for test-driven development, regression testing and performance testing
● Confi dent in owning and driving test planning for complex projects

Required Skills
● Well-versed in testing techniques (boundary value analysis, equivalence class partitioning, state transition, decision table) and methodologies (unit, smoke, usability, regression tests)
● Experience writing test automation scripts with programming languages (e.g. C#, Python, Javascript) on modern frameworks like Selenium, Playwright, Cypress
● Able to analyze automated test coverage and debug failures
● Experience designing and writing API tests using tools like Postman, Swagger
● Profi cient in database technologies (e.g. SQL Server, PostgreSQL, MongoDB) and SQL

SDET QA Automation

7530 - SDET QA Automation

**Senior Backend Engineer (Azure Agent Platform)**
**Summary**
You will build and maintain the microservices, serverless functions, and APIs that power our AI-driven platform on Azure. Working closely with AI Engineers and Data Engineers, you’ll implement the backend logic for our Foundry-hosted agents - wrapping calls to OCR, ML endpoints, data stores, messaging, and notifications and expose those services securely and reliably.

**What You’ll Do**
- Develop Azure Functions (Blob triggers, Service Bus triggers, HTTP endpoints) to implement each agent’s “tool” calls: OCR extraction, ML model inference, database reads/writes, and notifications
- Build and maintain the Orchestrator Agent interface that kicks off and monitors multi-agent workflows in Azure AI Foundry
- Create data-access layers for Cosmos DB (or Azure SQL) to store and retrieve part specs, equipment catalogs, and result records
- Integrate with Azure ML endpoints, handling authentication via Managed Identities and parsing JSON responses
- Implement robust HTTP clients for Azure Cognitive Services OCR with error-handling and retry logic
- Collaborate on Semantic Kernel plugins that expose backend functions as agent skills
- Wire up Logic App or SendGrid notifications via output bindings or HTTP triggers when workflows complete
- Write comprehensive unit and integration tests to ensure code quality and reliability
- Work with DevOps/MLOps to containerize and deploy your services, integrate into CI/CD pipelines, and configure application settings

**Required Skills**
- 5+ years building serverless backends on Azure, including Azure Functions and Event-driven architectures
- Proficiency in C# (.NET Core) or Python for Azure Functions development
- Experience with Cosmos DB (or Azure SQL) SDKs, data modeling, and optimizing high-throughput queries
- Hands-on familiarity with calling Azure ML endpoints and Cognitive Services APIs, with secure authentication (Managed Identities, Key Vault)
- Solid REST API design skills, HTTP client implementation, and message-based triggers (Service Bus, Event Grid)
- Working knowledge of Semantic Kernel or similar agent-framework concepts, and ability to build function plugins
- Strong testing discipline. Unit tests with xUnit/pytest and end-to-end/integration tests using local emulators or test environments
- Excellent collaboration and communication skills in a fast-paced, cross-functional team

**Preferred Skills**
- Hands-on experience with Azure AI Foundry Agent Service or other managed agent platforms
- Familiarity with Application Insights and Azure Monitor for logging and telemetry
- Experience with Azure Logic Apps or SendGrid for email/Teams notifications
- Background in prompt engineering or LLM integration (OpenAI/Azure OpenAI)
- Prior work on CAD or manufacturing-related data pipelines and ML workflows

C# C#

7527 - C# C#

Be a pioneer in business, education, and global impact by joining this project team - a “startup with assets,” where you will have the chance to deploy cutting-edge digital and emerging technology education solutions.

Job Summary
- As a Data Engineer, you will bring to life and implement architecture blueprints and help our team by mapping out solutions to some of their complex technical challenges.
- You'll provide technical expertise, mitigate risk and offer solutions tailored for their needs. From migrations of existing workloads to building advanced cloud solutions, you'll help shape and build to increase agility, improve security, reduce costs and meet utilization targets.
- You will work closely with the Data Engineering, Data Science, Infrastructure Architecture & Platform teams and will focus on creating blueprints to nourish a culture of engineering excellence. You will report into the Sr. Managing Director Big Data Governance
- Responsible for developing, testing, and generating reports or dashboards from a host of systems and delivering results to clients.
- Plan and conduct comprehensive analytics services including reporting and predictive analytics. Provide expert level technical and project leadership.
- May manage and be a key contributor on multiple projects simultaneously


Responsibilities
- Support data engineering needs across the organization, including technical support and training in Big Data frameworks and ways of working, revision and integration of source code, to release and source code quality control
- Designing and producing high-performing, stable end-to-end applications to perform complex processing of batch and streaming massive volumes of data in a multi-tenancy big data platform in the cloud, and output insights back to business systems according to their requirements.
- Design and implement core platform capabilities, tools, processes, ways of working and conventions under agile development to support the integration of data sourcing and use cases implementation, towards reusability, to ease up delivery and ensure standardization across data deliverables in the platform.
- Work with the architecture team to define the strategy for evolving the Big Data
- Evaluate and help determine the technologies to be used on the Big Data Platform. Investigate new technologies for improving and future-proofing the platform. Collaborate on implementation efforts with various technical teams within the organization.
- Responsible for other duties as assigned
- Interview business owners to understand the business problem, questions, and pain points; Collect, analyze and present findings to identify trends, causes, risks and opportunities
- Conversant with qualitative and quantitative techniques, including predictive analysis and visualization
- Develop business applications to provide a comprehensive suite of self-service solutions; may test prototype software and participate in approval and release process for software
- Implement solutions to standardize and systemize routine reports, dashboards, and metrics
- Advocate for and engage in the implementation of data civics, including building data catalogs, documentation efforts, educating stakeholders, and standardizing access to data. Abide by and follow the Harvard University IT technical standards, policies and Code of Conduct

Basic Qualifications
- Minimum of three to five years’ of post-secondary education or relevant work experience

Additional Required Qualifications and skills
- Bachelor’s degree in Mathematics, Physics, Computer Science, Engineering, Statistics, or an equivalent technical discipline or 3-5 years of experience is required
- 3-5 years of experience in a hands-on technical role as an engineer and/or data engineering working at scale in collaborative coding and cloud environments is required
- Experience with common build tools, unit, integration, functional and performance testing from automation perspective, and continuous delivery, under agile practices is necessary
- Experience with AWS strongly preferred, including data stores, compute engines, container services, and build tools. For example, S3, RDS, Redshift, Glue, EMR (Elastic MapReduce), Kinesis, Lambda, Step Functions, DynamoDB, Data Pipeline, CloudFormation.
- Must be fluent in Python, SQL, and coding best practices. Must be comfortable working programmatically with complex data structures (e.g., highly nested JSON or XML, nested Python lists and dictionaries).
- Must be familiar with Object Oriented design patterns
- Expert-level experience in designing, building and managing applications to process large amounts of data in a cloud ecosystem or other big data frameworks is a must.

Nice to have skills and qualifications
- Experience with Gen AI prompt engineering and RAG architecture preferred
- Familiarity with scientific computing packages and platforms such as pandas and Spark preferred.
- Public projects or demos a plus



7510 - Data Engineer Data

Able to work NY hours

Job Description

We are looking for an experienced Front-End Developer to join our team on a contract basis. In this role, you will work closely with our Clinical Research team, delivering high-quality front-end solutions for their tools and applications. You will also have the opportunity to contribute to our design system, ensuring consistency and alignment across our products. This role off ers a chance to collaborate at the intersection of design and engineering within a focused and impactful area of our organization.

Responsibilities

Product Development (70%)

● Fully embed with scrum teams during front-end projects by actively participating in sprint ceremonies. 
● Develop and deliver UI features that integrate seamlessly into product code, reducing iteration cycles and minimizing the need for design QA. 
● Engage in technical discovery sessions and architecture discussions as needed. 
● Conduct thorough code reviews, focusing on maintainability, performance, accessibility, and adherence to design system standards. 
● Support and debug production issues to ensure application stability. 
● Partner closely with product designers by: 
○ Performing quick feasibility checks to help designers align UI with engineering constraints and scope. 
○ Off ering guidance on technical constraints and possibilities within the design system. 
○ Participating in design critiques and reviews to ensure proposed solutions eff ectively leverage the design system. 
○ Building prototypes to test designs with end users and iterate on feedback.

Design Systems Integration and Growth (30%)

● Act as the primary liaison between scrum teams and the Design Systems team, ensuring alignment and communication. 
● Identify opportunities to create new components based on Clinical Research Business Unit (CRBU) needs, prototyping and building those components when appropriate. 
● Provide feedback to the Design Systems team on the usability, design, and implementation of components. 
● Lead eff orts to migrate legacy components to design system equivalents across CRBU applications. 
● Upgrade and, if necessary, rewrite application code to fully leverage design system capabilities. 
● Off er support to design system users across the organization by addressing questions and providing guidance. 
● Contribute to the design system through code reviews and the development of reusable, scalable components.


Skills Desired

Must have

● 3 to 7 years of experience developing front-end code for web applications. 
● Proficiency in HTML, CSS, and JavaScript, with a strong focus on React for building presentation and functional components. 
● Experience connecting front-end components to back-end systems, building functional JavaScript code to handle data interactions. 
● Solid understanding of best practices for building web applications, including reusable code, performance optimization, cross-browser compatibility, and accessibility standards. 
● A systems thinker with the ability to tackle complex UI problems, breaking them down into small, modular, and scalable components.

Nice to have 

● Experience with TypeScript 
● Familiarity with design collaboration tools like Figma, including managing shared design resources. 
● UI/UX design experience, with an understanding of user-centered design principles and workfl ows. 
● Experience working at the intersection of design and engineering, contributing to design systems or reusable component libraries.

7509 - React JavaScript

**Our stack** 

**Code**:, Java, PHP, Node, and GoLang 
**RDBMS**: Oracle, PostGreSQL, MySQL 
**Cache**: Couchbase, Redis, ElastiCache, DynamoDB 
**Containers**: ECS, EKS, K8S, Docker 
**Cloud**: Amazon AWS 
**Telemetry**: New Relic, CloudWatch 
**Build**: Jenkins, CircleCI, GitHub Actions 
**Run**: PagerDuty, Exigence 
**Infrastructure-As-Code**: Terraform, Cloudformation 

**Your contributions**
Cloud Engineering Hands-on design, analysis, development and troubleshooting of highly-distributed large-scale production systems and event-driven, cloud-based services Ensure repeatability, traceability, and transparency of our infrastructure automation (infrastructure-as-code, monitoring-as-code) 
Participate in continual learning of the AWS ecosystem, game day scenarios, and professional conferences 
Collaborative solutioning of enterprise applications with development teams utilizing our software stack 
Actively monitor AWS Cost, and utilize optimizer to maximize ROI while maintaining Service Level Objectives Observability Engineering Ownership of reliability, uptime, system security, cost, operations, capacity, resiliency and performance-analysis thereof Define, monitor and report on service level indicators for applications workloads 
Support on-call rotations for operational duties that have not been addressed with automation, with an eye for correcting issues that result in on-call alarms 
Maintain telemetry that improve the visibility to our applications' performance and business metrics and keep operational workload in- check 
Develop, communicate, collaborate, and monitor standard processes to promote the long-term health and sustainability of operational development tasks. DevSecOps Support healthy software development practices, including complying with agile software development methodology, building standards for code reviews, work packaging, and continuous delivery 
Partner with CyberSecurity and develop plans and automation to respond to new risks and vulnerabilities 
Systems Engineering Collaborate with Systems Admins to coordinate middleware, network, storage, database, Windows, Linux, VMware maintenance 
Automate legacy onprem system maintenance and migrate to cloud via thoughtful redesign 
Resiliency Engineering Collaborate with dev teams to identify failure points and blast radius of systems 
Validate effectiveness of monitoring and observability configurations 
Coordinate failure injection testing 
Observe and document steady state production levels, growth patterns 
Plan and forecast for seasonal growth, communicate trend lines with leadership, enhance infrastructure scaling plans to accommodate 2x planned load 
Coordinate improvements of existing software and infrastructure to meet resiliency goals

7504 - Site Reliability Engineer Cloud and Infrastructure


Key Responsibilities
Area What you’ll do
Architecture &
Code Quality 1. Design and implement modular, typed React components and hooks that scale across products. 2. Champion Next.js best practices—SSR/SSG, edge functions, and route / data caching—to deliver sub-second perceived performance. 3. Establish Tailwind CSS conventions and compose shadcn/ui primitives into cohesive design-system patterns. 4. Integrate v0.dev (AI-generated UI) into the development workflow, curating and hardening generated code for production use.
Collaboration &
Leadership 1. Partner with Product, Design, and Backend leads during discovery to shape features and technical scope.
2. Conduct design and code reviews, enforce automated checks (TypeScript, ESLint, unit/E2E tests). 3. Mentor mid-level and junior engineers, modeling clean architecture, accessibility, and performance tuning.
Dev Experience &
Tooling 1. Extend our Nx / Turborepo monorepo setup for fast local iteration and CI/CD pipelines. 2. Optimize bundle sizes (code-splitting, tree-shaking) and define performance SLIs/SLAs. 3. Author reusable Storybook stories and docs; drive adoption of visual regression testing.
Quality &
Observability 1. Build for AA/AAA WCAG compliance, internationalization, and responsive design. 2. Instrument front-end telemetry (Real User Monitoring, Core Web Vitals) and act on insights. 3. Help define rollback and feature-flag strategies for safe, iterative releases.
---
Minimum Qualifications
1. 7+ years professional front-end or full-stack experience, 5+ years with React/TypeScript in production.
2. Deep Next.js expertise (v13+ App Router), including SSR, middleware, incremental static regeneration, and edge deployment patterns.
3. Advanced Tailwind CSS knowledge—utility strategy, theming, and progressive enhancement.
4. Hands-on with shadcn/ui: extending Radix primitives, token-driven theming, accessible component authoring.
5. Experience operationalizing AI tools (e.g., v0.dev, Copilot, Cody) to accelerate UI scaffolding while maintaining code review rigor.
6. Proven track record of leading architecture decisions and mentoring other engineers.
7. Strong understanding of web performance, accessibility, and security fundamentals.
8. Comfortable working in Nx/Turborepo, GitHub Actions (or similar), and writing tests with Jest/React Testing Library and Playwright/Cypress.
---
Nice-to-Have
1. Familiarity with backend for frontend (BFF) patterns in Node.js (tRPC, GraphQL, or REST).
2. Exposure to design-tokens pipelines (Style Dictionary, Tailwind CSS plugin ecosystem).
3. Contributions to open-source React, Tailwind, Radix, or shadcn/ui projects.
---
What success looks like in 12 months
1. The design-system 2.0, powered by shadcn/ui + Tailwind CSS, is fully adopted across product teams.
2. New feature teams generate 80 % of layouts via v0.dev, cutting UI scaffolding lead time by half.
3. Junior engineers actively lead PRs after benefiting from your pairing and feedback loops.

7493 - React JavaScript

7492 - React JavaScript

Backend Software Engineer II, Java
Overview:
Our client is looking for a highly motivated and experienced Software Engineer to join their
Adtech team. The Adtech team is responsible for building a suite of client and server
technologies to deliver advertising to our huge audience of engaged players worldwide. As a
Software Engineer, you will be responsible for the design and development of mission-critical
components of a distributed Ad serving platform. You will design, code, troubleshoot, and
support scalable services in a high volume and low latency environment.

The impact you'll make:
● Design and develop highly scalable, fault-tolerant containerized backend services in
Java running on AWS cloud
● Collaborate with project stakeholders to identify product/technical requirements
● Write unit tests, meet code quality/coverage criteria, drive load tests to develop
production-ready backend services
● Instrument code to derive critical observability metrics, optimize logging and provide
support for production issues
● Assist in hosting cost optimization/projections
● Work with geographically distributed engineers in different time zones in an agile
environment
● Drive proof of concepts, design documents
● Manage individual project priorities, deadlines, and deliverables
● Mentor remote engineers and guide them to deliver high-impacting products and
services

What you've accomplished:
● Bachelor's degree or equivalent practical experience.
● Minimum of 3 years of professional software development experience.
● Deep knowledge of object-oriented programming and experience in Java, Vertx, Netty,
Jetty, etc.
● 2+ years of experience building microservices or distributed cloud-based software
systems, with an emphasis on fault tolerance, resilience, observability, and operability.
● Experience with building REST-based APIs and writing API specs in Swagger or similar.
● Experience with Continuous Integration and Continuous Delivery techniques and tooling.

Bonus Points:
● Experience in building servers with low latency and high concurrency systems.
● Interest and ability to learn other coding languages as needed.
● Experience with React, Ruby, Typescrip

Java Java

7486 - Java Java

Job Description:

We are looking for a talented SaaSOps Engineer to join our team and help us architect, build, and maintain our cloud building management platform. As a member of the SaaSOps team, you’ll be working closely with the DevOps and SaaSOps team members. You will be responsible for architecting cloud-based solutions and will need to be proficient in infrastructure and platform design and management as well as application deployment automation. You will be responsible for designing, building, reviewing, testing, debugging and troubleshooting code in a talented and highly collaborative environment. You will be working with Docker and other container technologies.
Responsibilities:
- Supporting      production workloads which may require callouts and after hours support
- Design and      deploy scalable, highly available, secure, and fault tolerant systems on      AWS for our cloud platform.
- Design,      build, and deploy AWS and Bitbucket Pipelines
- Focus on      building Dockerized application components by integrating them with      infrastructure and other service.
- Promote      cooperation and commitment within a team to achieve common goals in agile      environment.
- Examine      logs, data, and code to find issues, draw conclusions, and solve      problems.

Requirements:
- MUST:      Ability to work normal working hours in the European time zones.
- Demonstrated      competency with the most of following AWS services: ECS, EC2, EBS, S3,      RDS, VPC, Route53, ELB, IAM, CloudFront, CloudFormation, CloudWatch, SQS,      SES, Lambda, Secrets Manager, API Gateway, KMS, CodeDeploy, CodePipeline,      ECS, ECR, Certificate Manager, Cognito, Cloud Map, DynamoDB, and IoT Core.
- Good      knowledge of Linux operating system, containers, and networking concepts.
- Delivering      Infrastructure as Code using CloudFormation and CodePipeline pipelines in      CI/CD environments
- Deploy      software using CodeDeploy and pipelines
- Expertise in      leveraging Automation / DevOps principles, experience with operational      tools, and able to apply best practices for infrastructure and software      deployment.
- Experienced      in securing SaaS offerings build on AWS infrastructure in multi-account      environments.
- 3 years      experience in architecting and implementing secure and scalable      infrastructure for cloud native applications on AWS
- Passion for      solving challenging issues.

Nice to have Skills:
- AWS      Certifications
- Advanced      Docker, Nginx, SSH, PostgreSQL configuration and operational experience
- Proficient      in Python and/or JavaScript programming language
- Experience      with one or more AWS SDKs and/or CLI.
- Managing      microservice workloads

**What You Can Expect From Us:**
- An      environment where you will be working on cutting edge technologies and      architectures
    - A fun,       passionate and collaborative workplace
    - Training on       AWS services - we understand that no one is expert in all AWS services       and will work with you to bring you up to speed on services that you will       interact with daily
    - Career       development - internal and external training on various technical topics
    - Geographically       distributed team using web service to promote team culture, knowledge       sharing, cross training, and effective asynchronous communication in       agile development environment.

7485 - Site Reliability Engineer Cloud and Infrastructure

We are a company that delivers personalized learning experiences that help students, parents, educators, and professionals.  You can be a part of a strong, dedicated engineering team that makes a real difference in people’s lives every day!

Our Literacy platform is an adaptive, personalized learning solution that meets students at their current reading level, provides them with timely, culturally relevant content, and automatically adjusts as their reading level improves.

**How can you make an impact?**
As a Frontend Engineer, you’ll play a pivotal role in designing, developing, and maintaining features on the Literacy platform. You will collaborate with UX designers, Product Managers, and other engineers on your team to create engaging and accessible new experiences for students and teachers using React and TypeScript.

**What you can expect from the position**
· Collaborate with your team to design, implement, and test features and bugfixes in our React application.
· Collaborate with product managers and your team to refine the product backlog.
· Promote engineering best practices within your team to ensure quality, accessibility, performance, and maintainability of your software
· Be a champion of the customer’s voice and ensure our products are built with empathy for students and teachers at the forefront

**What you bring to the role**
· 3+ years of frontend or full-stack software engineering experience with a distributed product & engineering team using React, preferably with TypeScript.
· Strong experience with web accessibility standards (WCAG), best practices, and testing strategies using tools such as JAWS, NVDA and axe-core.
- Proven ability to work in a      fast-paced software release environment, where you deliver      production-grade software daily for a system with millions of users.
- You can      contribute to the full software development life cycle – including writing      application code, writing unit/integration/automation tests,      documentation, and performance engineering.
- Strong sense of      customer empathy and a commitment to delighting customers.
- Beneficial but not required: full-stack experience with PHP, E2E testing      experience with Playwright or similar frameworks.

**The technology you’ll work with:**
Our tech stack includes: React, TypeScript, Playwright, Angular, PHP, Java, Figma, PostgreSQL, AWS, Github, Github Actions, and more!

- Central or EST time-zone preferred
    - Technologies:       React, TypeScript, Web Accessibility (WCAG 2.1).

7483 - React JavaScript

We are a company that delivers personalized learning experiences that help students, parents, educators, and professionals.  You can be a part of a strong, dedicated engineering team that makes a real difference in people’s lives every day!
Our Literacy platform is** **an adaptive, personalized learning solution that meets students at their current reading level, provides them with timely, culturally relevant content, and automatically adjusts as their reading level improves.

**How can you make an impact?**
As a Backend Engineer, you’ll play a pivotal role in designing, developing, and maintaining robust backend systems that support our Achieve Literacy initiatives. You will work primarily with PHP and Java, ensuring the scalability and reliability of our platforms. In addition, you will collaborate with cross-functional teams to test, deploy and monitor the health of our application in production.

**What you can expect from the position**
· Collaborate with your team to design, implement, and test RESTful APIs using PHP and Java.
· Collaborate with product managers and your team to refine the product backlog.
· Monitor, troubleshoot, and optimize system performance.
· Promote engineering best practices within your team to ensure quality, stability, performance, resiliency, and maintainability of your software
· Work with Docker, Kubernetes, AWS, and deployment pipelines to maintain healthy build and deployment pipelines.
· Be a champion of the customer’s voice and ensure our products are built with empathy for students and teachers at the forefront

**What you bring to the role**
· 3+ years of full-stack or backend software engineering experience with a distributed product & engineering team, preferably using PHP and PHP frameworks such as Symfony.
· Proven ability to work in a fast-paced software release environment, where you deliver production-grade software daily for a system with millions of users.
- You can contribute to the full software development life cycle – including writing application code, writing unit/integration/automation tests,      documentation, and performance engineering.
- Strong sense of customer empathy and a commitment to delighting customers.
- Familiarity with observability best practices and tools such as New Relic or Datadog
- Experience with Java, Python, Airflow, Kubernetes, AWS, or Terraform and would be helpful but not required.

**The technology you’ll work with:**
Our tech stack includes: PHP, Symfony, Java, Spring Boot, Airflow, Python, OpenAPI, CI/CD, Docker, Kubernetes, PostgreSQL, AWS, Terraform, GitHub, Datadog, New Relic and more!


- Central or EST time-zone preferred
    - Technologies:  PHP + Symfony, experience with Java or Airflow would be nice but not       required.

PHP 

7482 - PHP 

7481 - PHP 

### What You'll Do
- Create and execute detailed test plans for projects, ensuring alignment with QE best practices.
- Develop and maintain automated testing solutions, focusing on continuous improvement of the existing test Sigma and Selenium automation frameworks.
- Own QE processes and strategies at the project level, ensuring critical tasks are aligned with engineering priorities.
- Partner with cross-functional teams to establish QE practices early in the development process.
- Estimate, prioritize, and organize test efforts based on project scope and deadlines.
- Execute manual and automated tests to verify software functionality, performance, and security.
- Provide technical guidance to other QE engineers, including junior and mid-level team members.
- Ensure that team members are working toward a unified QE strategy.
- Support teams with debugging and issue resolution, acting as a key resource in troubleshooting.
- Research and implement the latest QE tools and methodologies to improve efficiency and accuracy.
- Contribute to test suite enhancements and updates based on project and team needs.
- Contribute to QE process improvements, driving the adoption of new tools, techniques, and frameworks.
- Lead automation efforts by identifying areas for automation and optimizing test cases for coverage.
- Collaborate on release planning and ensure QE processes are integrated into timelines.
- Track and report quality metrics (defect density, open defect counts) to the broader team.
- Ensure high-quality standards are applied across all testing processes.

### Skills Needed to Succeed
- **Experience working in the Unity framework and building automated tests in Unity.**
- Proficiency in writing production-ready, scalable automation suites with a clear understanding of team standards and guidelines.
- Adaptability to industry-leading tools and the ability to integrate emerging QE technologies to continually improve processes.
- Ability to self-motivate, make independent decisions, and solve problems with innovation.
- Effective at multi-tasking and time management to meet strict deadlines while remaining flexible and open to change.
- Excellent verbal, written, and interpersonal communication skills to clearly explain complicated processes and foster partnerships.
- Effective at process and organizational management to coordinate, structure, and provide vision to projects.
- Strong leadership skills and understanding of developing and guiding others.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 4+ years of experience in quality engineering, software testing, or a similar role, with a demonstrated track record of delivering high-quality software products.
- Strong knowledge of QE methodologies and hands-on experience with test automation frameworks (e.g.,TestSigma, Selenium, Appium, JUnit, TestNG) across multiple layers (front-end, back-end, services).

7480 - SDET QA Automation

JR 2871
---
**About This Job**
Designs, develops, and maintains software applications. Collaborates with cross-functional teams to identify and prioritize software features. Writes clean and efficient code, and tests and debugs applications. Keeps up-to-date with emerging trends and technologies in software development.
- Develops detail program specifications and programs for these components.
- Develops and tests interfaces between software products and products of other vendors.
- Creates and tests modules and components for compliance to design specifications.
- Participates in design and code reviews; addresses findings.
- Develops software applications.
- Collaborates with team members.
- Maintains codebase.

7468 - C# C#

**Role**

The Senior FinOps Engineer will play a key role in advancing our cloud cost management, optimization, and financialaccountability efforts across AWS, Azure, GCP, and OCI. They will support the centralization and analysis of multi-cloud usagedata, define key cost metrics, refine tagging and allocation strategies, and deliver actionable insights to engineering andleadership teams. By partnering with various engineering, product and finance teams, they will help design cost-efficient cloudarchitectures, implement monitoring and automation to reduce waste, and ensure alignment between cloud usage and businessobjectives. This role will also drive a culture of financial ownership across engineering and serve as a champion of FinOpsprinciples and best practices throughout the organization.

**Responsibilities:**

Primary responsibilities include all activities related to cloud financial management and analysis support. These responsibilitiesinclude, but are not limited to:

**Understand Usage & Cost**
- Centralize and consolidate multi-cloud (e.g., AWS, Azure, OCI, GCP) cost and usage data
- Refine tagging and cost allocation strategies to enable accurate cost attribution
- Define KPIs across key cloud services (e.g., EC2, S3, EKS, RDS, ElastiCache)
- Provide detailed cost analysis and actionable reports to management and engineering peers to drive informed decision-making and promote financial transparency
- Monitor ongoing cloud expenses and identify cost driver and cost saving opportunities, such as unused or underutilizedresources

**Quantify Business Value**
- Leverage historical cloud usage patterns to build accurate forecasts, contribute to budget planning, and ensure alignment withbusiness growth
- Analyze cloud spend and performance against industry standards or internal benchmarks to identify opportunities foroptimization and savings
- Define and track key metrics such as unit economics, cost per feature, or cost per customer to link cloud spending to businessoutcomes
- Partner with engineering, finance, and product teams to allocate cloud costs and empower teams to own and improve theirfinancial efficiency
- Perform cost-benefit analysis, and clearly communicate the financial impact to leadership

**Optimize Usage & Cost**
- Help teams build cost efficient cloud solutions by encouraging cloud-native design principles and service optimizationstrategies
- Review cloud technologies in use by our teams, identify methods to use these technologies efficiently, and provide guidance toengineers to incorporate best practices into their existing and new systems
- Oversee rate optimization efforts, ensuring continuous alignment of reserved capacity, savings plans, and enterpriseagreements with evolving cloud usage
- Implement workload optimization strategies using automation and monitoring to identify under utilized resources, reducewaste, and balance performance with cost
- Implement real-time monitoring, budget alerts, and anomaly detection tools to proactively manage cloud costs and detectopportunities
- Collaborate with engineering teams to identify, rationalize, and correct cost anomalies, waste, and underutilized resources

**Practice**
- Implement FinOps frameworks, roadmaps, cost-saving best practices, and governance standards for cloud financialmanagement
- Collaborate with finance, and cross-functional engineering teams to drive cloud cost optimization strategies and a culture ofaccountability
- Lead forecasting, budgeting, and cost management exercises to educate teams on cloud cost optimization principles
- Recommend training material to educate teams on FinOps best practices and cloud cost optimization
- Evaluate and recommend FinOps tools to enhance cloud cost management, visibility, and reporting across the organization

**Required Skills**
- At least 5+ years of experience with cloud infrastructure, cloud cost modeling, cloud management and/or FinOps
- Deep expertise in cloud platforms (e.g., AWS, Azure, or GCP) and cloud architecture best practices. AWS preferred
- Proficiency in Python scripting (or similar) for automation and data analysis
- Experience with FinOps principles, reporting, budgeting, forecasting and cloud cost optimization strategies
- Proficiency in financial analysis and cloud cost management tools (e.g., AWS Cost Explorer, Trusted Advisor, Athena or third-party solutions like Kubecost and Cloudability)
- Experience working with AWS CUR or FOCUS files
- Strong experience with Microsoft Excel
- Excellent communication and collaboration abilities
- Strong analytical and problem-solving skills

**Nice to haves**
- FinOps Certified Practitioner industry standard experience.
- Cloud Certifications: AWS Certified Solutions Architect, Microsoft Azure Fundamentals, Google Cloud Professional CloudArchitect.
- FinOps Certifications (Practitioner, Engineer, Other)
- Cloud Certifications (AWS, Azure, GCP)
- Proven background in driving FinOps maturity at scale in a multi-cloud environment

7464 - Site Reliability Engineer Cloud and Infrastructure

**Job Overview:** We are seeking a highly skilled Senior Data Analyst with expertise in Power BI, Snowflake, ETL processes, APIs, and data quality management to join our data-driventeam. This role involves working with large and often disparate data sources, ensuring data is clean, consistent, and analysis-ready. The ideal candidate has a strong analytical mindset, technical expertise, and a collaborative approach to problem-solving.

**Key Responsibilities:**

• **Write and optimize complex SQL queries** to extract, transform, and analyze large datasets in **Snowflake**
• **Build and maintain robust ETL pipelines**, ensuring efficient and reliable data movement across systems
• **Integrate and manage data from disparate sources**, including APIs, flat files,databases, and cloud platforms
• **Perform data scrubbing, cleansing, and validation** to ensure accuracy, consistency, and usability of data
• **Develop and maintain documentation** for data definitions, processes, and data flows
• **Ensure high standards of data governance, integrity, and quality control**
• Collaborate with data engineers and developers to improve data infrastructure and performance

**Qualifications**:

• Bachelor's or Master’s degree in Data Science, Computer Science, Information Systems, or a commiserate experience
• 4+ years of experience as a data engineer or similar role
• **Strong experience with Snowflake** or equivalent cloud data platforms
• **Hands-on experience in designing and maintaining ETL/ELT processes** using tools like Azure Data Factory, dbt, Talend, or Informatica
**• Proficiency in data scrubbing** and working with messy, unstructured, or inconsistent data
• **Demonstrated ability to manage and integrate data** from multiple, disparate sources
• Strong understanding of APIs and experience integrating with RESTful services
• Excellent SQL skills and familiarity with data modeling concepts
• Strong communication skills with the ability to explain technical concepts to nontechnical users

**Preferred Qualifications:**

• Experience with scripting languages such as **Python** or R
• Familiarity with Agile/Scrum methodologies
• Experience in a financial and marketing data

7463 - Data Engineer Data

**Job Overview:** We are seeking a senior-level and highly motivated Business Intelligence Engineer. This role will involve collaborating with cross-functional teams, designing and implementing modern data solutions, and supporting key business intelligence initiatives. The ideal candidate will have a strong background in data engineering, Power BI, and Snowflake as a data warehousing platform. This individual will play a key role in driving business intelligence strategies and enhancing reporting capabilities across the organization.

**Key Responsibilities:**

•**Requirement Gathering & Project Ownership:** Work closely with Product and business stakeholders to gather requirements and help prioritize requests. Take ownership of projects, ensuring successful delivery and alignment with business needs.
•**Collaboration & Design**: Partner with the Data Engineering team and data architects to expand and enhance a modern data warehouse platform that meets business and technical requirements.
•**EDW Data Modeling & Engineering**: Develop and manage enterprise data warehouse (EDW) data models and perform data engineering tasks to ensure clean, reliable, and scalable data for business insights.
•Data Pipeline Development: Design and develop data pipelines to **support Snowflake EDW platform and Power BI models**, leveraging tools such as dbt, SSIS, Snowpipe, Logic Apps, and Power Platform to automate and integrate business processes.
**•Snowflake Integration**: Integrate new data sources into Snowflake, optimizing performance and ensuring seamless data flow across platforms.
•**Power BI Semantic Models Architecture & Design:** Architect and design business-critical Power BI semantic models, providing a foundation for efficient reporting and analysis. Modify and upgrade existing Power BI semantic models based on user feedback, ensuring the models evolve with business needs.
**•Power BI Dashboards & Reporting:** Build interactive and insightful Power BI dashboards and reports that enable data-driven decision-making across the organization.

**Skills & Qualifications:**

•Proven **experience in Business Intelligence, Data Engineering,** or related fields.
•Expert **knowledge of OLAP data modeling** and engineering within **Enterprise Data Warehouses (EDW)**
•Expertise with modern data platform architectures, including **Snowflake and data lakes.**
•Deep experience in Power BI, including semantic model architecture, **dashboard/report design, DAX, and security configuration**.
•Proficient in designing and developing data pipelines, including tools such as dbt, Snowpipe, SSIS, Logic Apps and Power Platform.
•Solid understanding of data integration and transformation processes.
•Strong problem-solving skills, with the ability to reverse engineer, troubleshoot, and optimize BI solutions.
•Excellent collaboration and communication skills, with experience working in cross-functional teams.
•Knowledge of cloud platforms and big data technologies (e.g., Azure, AWS, Snowflake) is a plus.
Desired Experience:
•Power BI and/or Snowflake certifications or other relevant BI-related certifications preferred
•Proven track-record in managing large-scale data projects and supporting high-performance data environments.
•Proven track-record in managing complex, large data sets and pipelines

7462 - BI Data

## JR 2841- Full Stack. (Heavy on C# Back End/Intermediate Angular/OS)
**About This Job**
Designs, develops, and maintains software applications. Collaborates with cross-functional teams to identify and prioritize software features. Writes clean and efficient code, and tests and debugs applications. Keeps up-to-date with emerging trends and technologies in software development.
- Develops detail program specifications and programs for these components.
- Develops and tests interfaces between software products and products of other vendors.
- Creates and tests modules and components for compliance to design specifications.
- Participates in design and code reviews; addresses findings.
- Develops software applications.
- Collaborates with team members.
- Maintains codebase.

7452 - C# C#

Developer key qualifications
- 5 or more years in web applications development
- Experience with back end: .Net, C#, MVC
- Experience with front end: Javascript, html, css
- Experience with writing T-SQL statements, stored procedures
- Knowledge of object-oriented design, development skills and unit testing
- Commitment to write high-quality code
- Demonstrated ability to break down complex technology issues into understandable parts
- Familiar with Agile/Scrum and SDLC
- Troubleshooting skills and not afraid to dive in to understand existing code
- Reflective and willing to consider their own performance and critically assess areas for improvement
- Familiar with version control like Git, DevOps

7448 - C# C#

Developer key qualifications
- 5 or more years in web applications development
- Experience with back end: .Net, C#, MVC
- Experience with front end: Javascript, html, css
- Experience with writing T-SQL statements, stored procedures
- Knowledge of object-oriented design, development skills and unit testing
- Commitment to write high-quality code
- Demonstrated ability to break down complex technology issues into understandable parts
- Familiar with Agile/Scrum and SDLC
- Troubleshooting skills and not afraid to dive in to understand existing code
- Reflective and willing to consider their own performance and critically assess areas for improvement
- Familiar with version control like Git, DevOpswork or a similar ORM
• Microsoft SQL Server
• RabbitMQ

7447 - C# C#

Client Growth Team (CGX)
**Objective:** Drive the growth of revenue across the company through exemplary management of the accounts in their portfolio.
**Responsibilities:**
- **Cross-Selling:** Identify opportunities to sell      additional services or products to existing clients.
- **Up-Selling:** Encourage clients to upgrade to more      premium or comprehensive solutions.
- **Revenue Generation:** Develop strategies to increase overall      revenue from the current client base.
- **Margin Management:** Monitor and optimize profit margins on      client accounts to ensure financial health.
- **Quarterly Business Reviews (QBRs):** Conduct thorough reviews to assess and      strategize on client accounts.

**Key Activities:**
- Regular client meetings to understand      needs and identify upsell opportunities.
- Develop personalized pitches and      proposals for cross-sell and upsell.
- Collaborate with the marketing team to create      promotional materials.
- Track and report on sales performance      metrics.
- Conduct Quarterly Business Reviews      focusing on:
    1. **Account Health:** Review the overall health and status of       the account.
    2. **NPS Score:** Assess client satisfaction and loyalty       through Net Promoter Score.
    3. **Future Growth Opportunities:** Identify potential areas for further       engagement and growth.
    4. **High-Level Risks:** Evaluate and mitigate risks that could       threaten the account.
    5. **External Referrals:** Seek referrals from client executives       to expand our network.
- **HubSpot Utilization:** Track opportunities within existing      accounts and measure external opportunities for potential closure using      HubSpot.
- **Margin Management:** Regularly analyze financial performance,      identify areas for cost optimization, and ensure that profit margins are      maintained or improved.

**Tools & Resources:**
- CRM System for tracking client      interactions and opportunities (HubSpot).
- Sales and Marketing collateral      (Marketing).
- Data analytics tools for identifying      trends, margins, risks, and opportunities (Reports).
- Sharepoint for managing Open Positions,      Accounts, Healthchecks, and QBRs.

Sales 

7445 - Sales 

- Ability to work in a fast-paced environment working directly with an architect
- PERL migrating to java
- Capable in java but able to learn quickly

Requirements:
- Proven experience in Java development, with a strong understanding of Java fundamentals and best practices.
- Solid skills with REST web services development and frameworks based in Java like Springboot, JPA and related technologies
- Expertise on SQL Databases
- Ability to quickly learn and adapt to new technologies, including Perl if not already proficient.
- Experience working in a fast-paced environment, collaborating directly with architects and development teams.
- Strong problem-solving skills and attention to detail.
- Excellent communication and teamwork skills

7444 - Java Java

Senior Frontend Engineer

Position Overview
We are looking for a senior frontend engineer to build web and mobile shopping experiences. You will work closely with a small but dynamic team of 3-4 engineers. Reporting directly to the CTO, you will play a pivot role in the system design and customer experience across devices.
Responsibilities
- 
    - Deliver a complete, delightful user experience
- 
    - Work with modern, open source toolkits and frameworks
- 
    - Collaborate with senior business leaders on roadmap, architecture, and planning
- 
    - Iterate rapidly based on customer feedback and pain pointsQualifications
- 
    - 5+ years of experience with front end development
- 
    - Proficiency with React, TypeScript, and Node.js
- 
    - Solid problem solving and system design skills
- 
    - Experience with building, deploying, and operating applications on a cloud platform
- 
    - Experience building web apps with responsive design
- 
    - Startup mentality to iterate rapidly, work across disciplines, and focus on customersPreferred qualifications
- 
    - Proficiency with Next.js and GraphQL
- 
    - Experience building on AWS

7435 - React JavaScript

We’re looking for a mid-level engineer with strong data skills and experience with ETL pipelines on the Custom Solutions & Services (CSS) Engineering team. CSS Engineering builds custom datasets for our life science partners who leverage our data to improve health outcomes by learning from the experience of every patient with cancer. Are you ready to be the next changemaker in cancer treatment research?

What You'll Do

You’ll work with project managers, quantitative scientists, clinical data analysts, and research oncologists on CSS to curate the delivery of datasets that meet contractually specified requirements in support of our life science partners’ research. Your role as an engineer is to design, build, and manage our data pipelines using an in-house ETL tool coded primarily in SQL and Python. In this role, you’ll leverage internal webapps, systems, and services, with support from the teams who own these tools. You’ll work closely with other engineers who lead similar data deliveries, while being accountable to cross-functional CSS teams for technical support, guidance, and on-time delivery.

● Create ETL pipelines in code and link them up to internal tooling
● Monitor CI/CD processes to ensure ETL pipelines continue to run smoothly
● Coordinate with clinical data analysts to queue patient-based data extraction
● Collaborate with clinical data analysts to ensure the data meets quality standards
● Handle ad-hoc requests from CSS folks about the patient-level data
● Package and deliver the outputs of ETL pipelines to AWS S3 for client access
● Context switch between multiple ETL pipelines and CSS stakeholders
● Make recommendations on code and process efficiency improvements

With your help, CSS will deliver dozens of datasets every quarter to our life science partners who use our data to:

- Make decisions about which drugs/diseases to target
- Submit evidence as part of FDA filings for approvals
- Publish research papers (on which you may appear as co-author)

Who You Are 

You're a kind, passionate and collaborative problem-solver who is laser-focused on on-time delivery and calm under pressure. In addition, you’re an empathetic communicator with 4+ years of experience managing data pipelines or working on data intensive software applications. 

● You have experience with Python 3.9+ 
● You have experience with SQL (any variety / Postgres preferred) 
● You collaborate effectively with other engineers through the use of Git and merge requests (or similar version control tools) 
● You have experience with at least one ETL tool 
● You are comfortable introspecting data to debug ETL pipelines 
● You communicate effectively with non-technical stakeholders 
● You enter into discussions with curiosity and an urge to Do the Right Thing 

Extra credit: 

● You are familiar with data engineering best practices
● You have a proven record of identifying inefficiencies in code or processes and proposing or working with others toward solutions

7418 - Data Engineer Data

JR2698
---
**Job Desc:**
• Translate business requirements into viable and scalable applications.
• Design, develop and test outsystems applications using best practices and established coding standards
• Coordinate and communicate with other tech teams and business analysts as needed
• Assess existing applications in performance architecture and design and refactor leveraging outsystems design patterns.
• Conduct root cause analysis using knowledge of applications, interfaces, and technology for defect resolution.
• Maintain a calm and professional demeanor at all times and consistently interact professionally and productively with all levels of employees.
Build flexible data models and seamless integration points.
- Desired Career Exp:
- 3-4 years of experience developing web and mobile applications using outsystems.
- Proficiency in the outsystems platform, including the use of Service Studio, Integration Studio.
- Experience in architecture patterns, solution design and high performing application development.
- Experience in designing and developing scalable, secure and high-performance Outsystems applications.
- Extensive experience in developing screens, web blocks, timers, server/service actions, client actions, data actions etc. in outsystems
- Experience in customizing the UI of the screens based on the figma designs provided.
- At least 2 years experience working with web technologies like ASP .NET, C#, or Java, HTML, CSS, JavaScript and RESTful APIs.
- At least 2 years experience working on relational database language like SQL/Oracle and writing T-SQL queries.
- Experience in using Outsystems architecture dashboard, discovery tool to validate application design and technical debt.
- Knowledge of relational data modelling principles and experience building database objects using E-R modelling tools.
- Experience in building apps with responsive web design compatible with various devices, exposing and consuming SOAP and RESTful APIs.
- Experience working in agile/scrum methodology of project delivery.
- Experience using tools like Azure Boards, Jira, confluence.
- Familiarity with outsystems lifetime, service center.
- Experience in working in Agile/Scrum SDLC methodology.
- Ability to work minimal oversight and proactively communicates status and risks to project leadership and posses strong problem solving skills.
- Outsystems certifications such as Reactive Web Developer is highly desirable.
- Experience in developing mobile applications using outsystems is preferable.
- Key Skills:Outsystems, ODCSQL.NetJavascriptCSSHTMLREST APIOther:Certification in Outsystems Reactive Web, ODC Developer, Architecture is preferred.

Outsystems 

7413 - Outsystems 

We are looking for a skilled Software Engineer to help our team build a disruptive, oncology-specific software platform that connects cancer centers across the world on a common technology infrastructure to address key healthcare challenges. Our ideal candidate is a kind and passionate problem-solver who embraces collaborative teamwork, offers constructive feedback, and is motivated to create meaningful change. 

Today, the Clinical Workflows team works on the industry-leading electronic medical record for oncology with the goal of enabling cancer center physicians and care teams to deliver high quality, cutting edge care to patients. 

What you will do

● Develop new features, including designing software and infrastructure solutions, implementing those solutions, testing them, and deploying them.
● Independently resolve bugs, including investigating root causes, designing fixes, implementing fixes, writing automated unit tests, writing automated end-to-end tests, and deploying changes.
● Document system elements, including communicating key design attributes clearly in written English, sometimes with supporting diagrams.
● Strong written and spoken communication skills in fluent English with the ability to explain technical topics to non-technical audiences
● Perform design and code reviews.
● Collaborate cross-functionally with engineers, product managers, and other internal stakeholders to deliver solutions that solve the problems of our users.
● Participate in daily standups, bi-weekly sprint meetings, and other agile ceremonies.
● Be part of the team’s on-call rotation, this will be 24 hours/day for one week per rotation.
● Maintain US East Coast working hours (EDT/EST)

Qualifications

Required skills, experience, or knowledge:

● 5+ years experience developing full stack software applications.
● 5+ years experience programming in C#, Javascript and ReactJS
● 3+ years experience with Python, SQL, Deploying and managing cloud infrastructure in AWS
● Strong skills debugging complex software systems.

Preferred skills, experience, or knowledge:

● 3+ years experience configuring infrastructure using Terraform.
● 3+ years experience working in React.
● 3+ years experience writing unit tests in Jest.
● Experience using AWS, including AWS DynamoDB, Lambda, EC2, and RDS.
● Experience using JIRA, Git, GitLab, Datadog and Confluence.
● Experience working in a highly regulated environment.

Team Specific

● Experience with Mobile application development and deployment

7400 - C# C#

AI / Machine Learning Engineer
**Seniority: Senior**
**Desired Working Hours: +/- 3 hours of EST**
**What You'll Do**
We’re advancing the use of machine learning, generative AI, and natural language
processing to extract clinically relevant information from unstructured medical notes for use in
oncology research. The Discovery team is helping to build these next generation research data
products, developing and applying ML & LLMs to capture a complete picture of the patient
journey. While most of the team are ML Engineers, Discovery has team members spanning 5
different fields, from ML to product management to research oncology.
As part of our team, you will develop and validate LLM systems (including prompt engineering
and data pipelines) to solve applied clinical problems and help build towards our vision of the
future of machine learning at our company. Engaging with a cross-functional group of stakeholders
both within Discovery and across the company, you will contribute to LLM variable development
projects from scoping through to productionization and delivery.

In addition, you'll also:

- Interface with internal scientific & clinical stakeholders to understand what data they
need to conduct high quality research.
- Build LLM-based models to turn raw clinical data into high quality research variables,
drawing on your knowledge of LLMs, prompt engineering, traditional ML, and NLP
techniques to determine the right methods to use for a given problem.
- Work with quantitative scientists and oncologists to validate that your models can be
used to generate sound scientific insights.
- Work cross-functionally with software engineers to productionize, scale, and monitor
your models.

**Who You Are**
You're a product-focused data scientist, with experience in leveraging ML and LLMs to solve
real-world problems. You’re excited to learn about oncology from our clinical stakeholders and
work with them to craft LLM prompts that extract complex & nuanced clinical concepts from the
medical record. You’re a kind, passionate and collaborative problem-solver who seeks and gives
candid feedback, and values the chance to make an important impact.

You have strong written and verbal communication skills in fluent English, needed both
for cross-functional collaboration with clinical stakeholders and interpreting unstructured
medical notes.
- You have 3+ years of relevant working experience in a technical capacity, with a focus
on ML. Prior experience with LLMs is strongly preferred.
- You have a strong background in applying ML to solve real-world problems and a solid
grasp of the underlying statistical fundamentals of ML.
- You have collaborated with other technical team members in a production development
environment using formal version control, Python, and SQL.
- You have led cross-functional initiatives and excel at influencing decision-making without
authority.

_Extra Credit_
- You have experience with deep learning and traditional NLP methods.
- You have experience working with data in a healthcare setting.
- You have experience with the risks of bias in machine learning, health equity
research/analysis or have worked with underrepresented groups in a clinical research
setting.

Machine Learning AI

7397 - Machine Learning AI

**Role Introduction**
The Senior Manager, Product Marketing & Sales Enablement will lead unosquare's efforts in positioning our services in the market, uncovering industry/client insights, equipping the sales team with the tools and collateral they need to close deals effectively, and ensuring the website effectively converts on traffic. This role bridges the gap between our services, marketing, and sales, ensuring unosquare’s efforts generate maximum impact on our target audiences.

**What You'll Do**
Develop compelling product positioning and messaging that resonates with unosquare’s key industries and personas.

Create and execute go-to-market (GTM) strategies for new and existing services to drive adoption and revenue growth.

Build sales enablement materials, including pitch decks, battle cards, product guides, and case studies, to support sales effectiveness.

Conduct competitive analysis and market research to refine messaging and identify growth opportunities.

Work closely with demand generation and paid media teams to align product messaging with campaign initiatives.

Collaborate with sales to understand customer pain points and ensure marketing efforts directly support pipeline acceleration.

Establish and track key performance metrics related to product marketing and sales enablement efforts.

**Requirements:**
7+ years of experience in product marketing, sales enablement, or related roles in a B2B setting, preferably in technology or professional services.

Strong ability to craft compelling messaging and positioning that differentiates unosquare’s solutions.

Experience developing GTM strategies and executing product/service launches.

Proven ability to create impactful sales enablement materials that improve sales performance.

Strong research and analytical skills to drive data-informed marketing decisions.

Experience collaborating with cross-functional teams, including sales, demand generation, brand and product/SME teams.

Excellent communication, project management, and strategic thinking skills.

Ability to thrive in a fast-paced, high-growth environment with a hands-on approach to execution.


Marketing 

7395 - Marketing 

**Role Introduction**
The Senior Manager, Paid Media & Performance Marketing will lead unosquare’s digital advertising strategy, ensuring a data-driven, scalable approach to demand generation. This role focuses on executing and optimizing paid campaigns to generate high-quality leads and drive revenue growth.

**What You'll Do**
Develop, execute, and optimize a data-driven paid media strategy that drives lead generation and revenue impact for both Account Based and industry opportunities.

Lead paid advertising campaigns across Google Ads, LinkedIn, Meta, programmatic display, and other relevant platforms.

Scale unosquare’s paid media efforts by testing new channels, audience segments, and campaign structures.

Manage and optimize budgets to balance return on ad spend (ROAS), customer acquisition costs (CAC) and  long-term pipeline health.

Own reporting and analytics, leveraging insights to improve performance, and inform strategic decisions.

Implement A/B testing frameworks to continuously refine targeting, messaging, and conversion rates.

Collaborate with cross-functional teams, including sales, content, and product marketing, to ensure alignment and maximize impact.

Stay ahead of digital advertising trends, industry developments, and platform changes to drive continuous innovation.

**Requirements**
7+ years of experience in paid media, performance marketing, or demand generation in a B2B setting, with a strong focus on mid-market or entreprise level lead acquisition and revenue growth.

Proven track record of launching and scaling paid media programs that drive measurable pipeline and sales impact.

Experience executing successful account-based marketing (ABM) campaigns in key industries.

Expertise in digital advertising platforms, including Google Ads, LinkedIn Ads, and programmatic display.

Strong analytical skills with experience using data to optimize campaign performance, media spend and attribution models.

Hands-on experience with marketing automation platforms and CRM tools (e.g., HubSpot, Salesforce) for campaign tracking, lead attribution, and reporting.

Ability to test and scale paid media efforts across multiple channels while aligning with business and sales objectives.

Strong project management skills with the ability to manage multiple campaigns and initiatives simultaneously.

A proactive, results-driven mindset with a passion for continuous optimization and performance marketing excellence.

7394 - Marketing 

7388 - C# C#

Software Engineer Contractor - Clinical Research
Level: Intermediate/Senior


We’re looking for a data and technology-oriented Software Engineer to help us accomplish our mission to improve and extend lives by learning from the experience of every person with cancer. Are you ready to be the next changemaker in cancer care?

We are a healthtech company using data for good to power smarter care for every person with cancer, around the world.

We partner with cancer centers in the US, Europe and Asia to transform patients’ real-life experiences into real-world evidence and create a more modern, connected oncology ecosystem. Our multidisciplinary teams include oncologists, data scientists, software engineers, epidemiologists, product experts and more.

What You'll Do

We believe that traditional clinical research paradigms are ill-equipped to address the volume and complexity of research questions that face drug developers, researchers, and regulators. We are building technology-first products and operations to support new approaches to prospective evidence generation and clinical trial execution. In this role, you'll work with multidisciplinary stakeholders, including oncologists, data scientists and product experts to develop cutting edge tools that empower doctors to identify eligible patients for clinical trials, with a focus on increasing enrollment for diverse populations. Specifically, you'll:

- Play a key role in the complete software development lifecycle, ensuring seamless integration from requirements gathering to deployment and ongoing maintenance.
- Apply best practices in coding, testing, and documentation to ensure the delivery of high-quality, user-friendly software
- Rapidly iterate on products while maintaining engineering practices that ensure quality and security
- Work with complex data pipelines using a variety of data processing tools


Must be able to work US East Coast working hours (Work day must include hours between 11AM-4PM EST)

- You’re a software engineer with at least 5+ years of relevant professional experience
- You are excited to work in a startup environment, think creatively and be scrappy to get the job done
- You are excited about working in a passionate, fast-paced, technology-driven culture
- You have a nose for value and empathy for your customers
- You have experience with agile development environments using object-oriented programming languages and relational databases, specifically Python, React and Postgres.
- You have some experience working with cloud platforms like AWS and data warehouse solutions like Snowflake
- You can collaborate and easily explain technical terms to a non-technical, highly sophisticated audience; you have superior communication skills
- You are comfortable with ambiguity and always willing to teach and learn


Extra Credit
You have experience working in healthcare
You hold a bachelors, masters, and/or Ph.D. in computer science or a related field
You are familiar with common data pipeline tools like pandas or R

The interview process will be the same as before (two rounds, Algorithms then Code Review)